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  • December 2020
  • Supplement

Video Interview with Rebecca Fishman Lipsey

By: Rosabeth M. Kanter and Joyce Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Racism; Sexism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce Kim. "Video Interview with Rebecca Fishman Lipsey." Harvard Business School Multimedia/Video Supplement 321-705, December 2020.
  • December 2020
  • Supplement

Video Interview with Felecia Hatcher

By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Felecia Hatcher." Harvard Business School Multimedia/Video Supplement 321-703, December 2020.
  • 2007
  • Other Unpublished Work

Mind Over Matter? Similarities and Differences Between Perceived and Observed Networks

In spite of the rapid development of new methods for network analysis—relying on electronic data sources and sophisticated computational analysis—organizational scholars continue to rely largely on more traditional survey-based methods. We believe that the... View Details
Keywords: Surveys; Organizations; Social and Collaborative Networks
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Quintane, Eric, and Adam M. Kleinbaum. "Mind Over Matter? Similarities and Differences Between Perceived and Observed Networks." 2007. (Under Review.)
  • 2023
  • Article

Provable Detection of Propagating Sampling Bias in Prediction Models

By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
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Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
  • 2019
  • Working Paper

Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys

By: Rafael Di Tella and Dani Rodrik
We study preferences for government action in response to layoffs resulting from different types of labor-market shocks. We consider the following shocks: technological change, a demand shift, bad management, and three kinds of international outsourcing. Respondents... View Details
Keywords: Labor; Markets; System Shocks; Trade; Attitudes; Surveys
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Di Tella, Rafael, and Dani Rodrik. "Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys." NBER Working Paper Series, No. 25705, March 2019.
  • Teaching Interest

Executive Education: Finance for Senior Executives

By: Malcolm P. Baker

Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education View Details

  • 2023
  • Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
  • December 2020
  • Supplement

Video Interview with Pandwe Gibson

By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Pandwe Gibson." Harvard Business School Multimedia/Video Supplement 321-704, December 2020.
  • August 28, 2018
  • Article

Maintaining Trust When Agents Can Engage in Self-deception

By: Andres Babino, Hernan A. Makse, Rafael Di Tella and Mariano Sigman
The coexistence of cooperation and selfish instincts is a remarkable characteristic of humans. Psychological research has unveiled the cognitive mechanisms behind self-deception. Two important findings are that a higher ambiguity about others’ social preferences leads... View Details
Keywords: Behavioral Economics; Cognitive Neuroscience; Corruption; Cooperation; Self-deception; Trust; Behavior
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Babino, Andres, Hernan A. Makse, Rafael Di Tella, and Mariano Sigman. "Maintaining Trust When Agents Can Engage in Self-deception." Proceedings of the National Academy of Sciences 115, no. 35 (August 28, 2018): 8728–8733.
  • 25 Feb 2019
  • Research & Ideas

How Gender Stereotypes Kill a Woman’s Self-Confidence

abilities, likely from a very young age,” Coffman says. “Until we can change these stereotypes, it’s essential to think about how we can better inoculate individuals from biases induced by stereotypes, helping people to pursue fulfilling... View Details
Keywords: by Dina Gerdeman
  • March 2021
  • Article

Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment

By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the... View Details
Keywords: Visual Perception; Bayesian Modeling; Perception; Judgments
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Xiang, Yang, Thomas Graeber, Benjamin Enke, and Samuel Gershman. "Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment." Attention, Perception, & Psychophysics (March 2021): 1–11.
  • 28 Apr 2015
  • First Look

First Look: April 28

  Publications April 2015 HarperBusiness Strategy Rules: Five Timeless Lessons from Bill Gates, Andy Grove, and Steve Jobs By: Yoffie, David B., and Michael A. Cusumano Abstract—The authors of the bestselling Competing on Internet Time (a Business Week top 10 book)... View Details
Keywords: Sean Silverthorne
  • 2017
  • Article

True Happiness: The Role of Morality in the Concept of Happiness

By: Jonathan Phillips, Julian De Freitas, Christian Mott, June Gruber and Joshua Knobe
Recent scientific research has settled on a purely descriptive definition of happiness that is focused solely on agents' psychological states (high positive affect, low negative affect, high life satisfaction). In contrast to this understanding, recent research has... View Details
Keywords: Moral Cognition; Happiness; Moral Sensibility; Emotions; Well-being
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Phillips, Jonathan, Julian De Freitas, Christian Mott, June Gruber, and Joshua Knobe. "True Happiness: The Role of Morality in the Concept of Happiness." Journal of Experimental Psychology: General 146, no. 2 (2017): 165–181.
  • 2020
  • Working Paper

Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty

By: J. Peter Scoblic
This paper proposes to treat strategic foresight as a dynamic capability, providing a new theoretical lens on managerial judgment. Formulating strategy under uncertainty is a central challenge facing the modern firm. Analogy is thought to help managers make sense of... View Details
Keywords: Foresight; Dynamic Capabilities; Managerial Judgment; Risk and Uncertainty; Management; Strategy
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Scoblic, J. Peter. "Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty." Harvard Business School Working Paper, No. 20-093, March 2020.
  • Article

Default Neglect in Attempts at Social Influence

By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the... View Details
Keywords: Social Influence; Default Effect; Nudges; Choice Architecture; Decision Making; Behavior
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Zlatev, Julian, David P. Daniels, Hajin Kim, and Margaret A. Neale. "Default Neglect in Attempts at Social Influence." Proceedings of the National Academy of Sciences 114, no. 52 (December 26, 2017).
  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • June 2011
  • Article

Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor

By: Christina Fong and Felix Oberholzer-Gee
It is often difficult for donors to predict the value of charitable giving because they know little about the persons who receive their help. This concern is particularly acute when making contributions to organizations that serve heterogeneous populations. While we... View Details
Keywords: Philanthropy and Charitable Giving; Policy; Information; Knowledge Acquisition; Game Theory; Prejudice and Bias; Poverty; Welfare
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Fong, Christina, and Felix Oberholzer-Gee. "Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor." Special Issue on Charitable Giving and Fundraising Journal of Public Economics 95, nos. 5-6 (June 2011): 436–444.
  • 05 Dec 2023
  • Research & Ideas

Lessons in Decision-Making: Confident People Aren't Always Correct (Except When They Are)

of “first-order importance” for understanding behavioral economics’ influence on social science. “Although behavioral economists have put great energies into studying how nudges, frames, familiarity, and learning influence biases... View Details
Keywords: by Kara Baskin
  • 16 Mar 2010
  • First Look

First Look: March 16

judgments made with clear incentives for objectivity. The consistency we observe between public and private judgments indicates that participants believed their biased assessments. Our results suggest that the psychology of conflict of... View Details
Keywords: Martha Lagace
  • 18 Sep 2014
  • Working Paper Summaries

Institutional Strategies in Emerging Markets

Keywords: by Christopher Marquis & Mia Raynard
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